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The value of in silico methods in drug development and evaluation has been demonstrated repeatedly and convincingly. While their benefits are now unanimously recognized, international standards for their evaluation, accepted by all stakeholders involved, are still to be established. In this white paper, we propose a risk-informed evaluation framework for mechanistic model credibility evaluation. To properly frame the proposed verification and validation activities, concepts such as context ofdoi:10.1002/psp4.12669 pmid:34102034 pmcid:PMC8376137 fatcat:nxmf3ld4nffpre37462ybpglkq